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Data · dataset · 2026

Replication Data for: Solving Approximation Tasks with Greedy Deep Kernel Methods

Listed in DaRUS

This archive contains the Python code and result files corresponding to the paper "Solving Approximation Tasks with Greedy Deep Kernel Methods" and allows to reproduce all numerical experiments.

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Where it is published

Catalogue records · 1

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Stated by source
Mathematical Sciences
Inferred from text
Statistics 69%
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
DaRUSdoi:10.18419/DARUS-516712 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:group:4905enrichment · darus uni stuttgart detaxonomy-embedding@1.1.0title+keywords+description (69%)
concepts[field].dataverse_subject:mathematical-sciencessource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0/subjects
concepts[field].local:field:mathematics-statisticsmapping · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0/subjects
created_datesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0
descriptionsource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0/description
publication_datesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0
titlesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0/name
updated_datesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0
version_labelsource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0